This brief communication exposes an overview of various wavenumber filters to separate the rail contribution to pass-by noise via the wave signature extraction method [Zea, Manzari, Squicciarini, Feng, Thompson, and Lopez Arteaga, J. Sound Vib. , 24-42 (2017)]. It has been found that the originally proposed filters underestimate the rail noise at frequencies above 1.6 kHz due to the presence of higher-order wave families that is unaccounted for. The goal of this letter is thus to propose and examine different filter functions that can capture such waves, and to assess whether the rail contribution estimations can be improved.
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http://dx.doi.org/10.1121/1.5063453 | DOI Listing |
Disabil Rehabil
January 2025
Stroke Theme, Level 1, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia.
Unlabelled: Stroke patients are rarely asked about their responses to specific design attributes. Virtual reality (VR) offers a promising tool to explore how hospital environments are experienced after stroke.
Purpose: To gather perspectives and emotional responses regarding physical design attributes of hospital patient rooms after stroke.
Sci Rep
January 2025
Academy of Regional and Global Governance, Beijing Foreign Studies University, Beijing, 100089, China.
Urban rail transit, as an efficient and eco-friendly mode of transportation, plays a pivotal role in mitigating traffic congestion and lowering urban carbon emissions. Despite the significant contributions by scholars in this area, debates surrounding the quantification of carbon emissions during the operational phase of urban rail transit persist, particularly in assessing its impact on reducing ground traffic congestion. This study examines the passenger flow during Beijing's morning and evening peak hours, assuming that all passengers initially using urban rail transit switch to buses and taxis during these periods.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
College of Civil Engineering, Tongji University, Shanghai 200092, China.
In recent years, steel-fiber-reinforced concrete (SFRC) has been increasingly applied in shield tunnel engineering. However, most research on SFRC segments focuses on the load-bearing capacity, while the tunnel deformation is an equally critical indicator that decides if the tunnel can operate safely during service conditions. Therefore, it is essential to also study the stiffness variations in SFRC segments, which is closely connected to the serviceability limit state (SLS).
View Article and Find Full Text PDFSci Rep
January 2025
School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
When the combinatorial testing method is used to locate faults in the complex signalling system of high-speed rail in order to prevent the system from being affected by combinatorial testing case explosion, which could results from the masking effects caused by multiple faults, the Minimum Fault Schema (MFS) can be accurately and efficiently located. Taking the Automatic Train Operation (ATO) scenario in intelligent high-speed rail as an example, a fault localization method based on the Adaptive Error Locating Array (AELA) algorithm is proposed. To begin with, according to the characteristics of ATO, the adaptive fault localization model is designed and the test parameter table is constructed.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu 610031, China.
Railway traction motor bearings (RTMB) are critical components in high-speed trains (HST) that are particularly susceptible to failure due to the high stress and rotational frequency they experience. To address the challenge of high false-positive rates in existing monitoring systems, this paper introduces a novel sensorless monitoring scheme that leverages stator current to detect fault-related characteristics, eliminating the need for additional sensors. This approach employs a hybrid signal preprocessing algorithm that integrates adaptive notch filtering (ANF) with envelope spectrum analysis (ESA) to effectively sparse the stator current and extract relevant fault features.
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